The work
As an R Quality Assurance Lead, you will review AI-generated R programming and data-analysis work. You will check whether code, statistical explanations, visualizations, data-wrangling steps, and modeling workflows are accurate, clear, reproducible, and aligned with project guidelines.
You will also write detailed feedback, support R-focused questions, and help improve the standards used to review this work.
- Review R code and data-analysis items for correctness and clarity.
- Check statistical validity, package usage, debugging accuracy, readability, and visualization quality.
- Flag misleading statistical claims, invalid methods, non-reproducible workflows, and hallucinated functions.
- Help contributors follow project guidelines through clear written feedback.
- Maintain R-specific trackers, FAQs, onboarding materials, examples, documentation, style guides, and review resources.
- Improve quality assurance processes by identifying recurring gaps and patterns in contributor performance.
What it pays and takes
This is a remote contract role for an experienced R user. The work is limited to candidates in the United States and requires strong English for following guidelines and writing clear feedback.
- Pay: Up to $65 per hour.
- Time: 20 or more hours per week.
- Location: United States only; remote contract work.
- Language: English.
- Experience: At least 3 years using R for data analysis, statistics, research, analytics, teaching, coding, or technical review.
- R knowledge: Syntax, data frames, vectors, functions, lists, factors, missing data, tidyverse, base R, statistical modeling, and visualization.
- Quality review: Ability to identify incorrect statistical assumptions, invalid package usage, data leakage, flawed transformations, and misleading charts.
- Preferred experience: dplyr, tidyr, ggplot2, R Markdown or Quarto, Git, reproducible workflows, and leading remote quality assurance or review teams.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind systems that generate code, text, images, and other outputs. Reviewers check examples for accuracy and quality so models can learn from better data, and experienced specialists are needed when the work involves areas such as statistics and programming.